Methods for simulation from multivariate Gaussian distributions restricted to be from outside an arbitrary ellipsoidal region are often needed in applications. A standard rejection algorithm that ...

Optimal design of sea-walls requires the extreme value analysis of a variety of oceanographic data. Asymptotic arguments suggest the use of multivariate extreme value models, but empirical studies ...

This paper presents a discrete random-field model for forward prices driven by the multivariate normal inverse Gaussian distribution. The model captures the idiosyncratic risk and adequately addresses ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

Description: Engineering applications of probability theory. Problems on events, independence, random variables, distribution and density functions, expectations, and ...